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The document presents a new representation of visual attention called Attention Graph, which encodes visual saliency and scanpaths in a graph-based format to better capture common attention behaviors among human observers. This approach addresses the limitations of existing methods that rely on raw gaze shift data, which often exhibit high variability, by incorporating semantic information from the viewed scenes. The authors demonstrate the effectiveness of the Attention Graph through experiments and its po

Author

Rutilio Nava

Language

EN